Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.2 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Priem
1
75 kgvan Vliet
2
65 kgRaas
8
72 kgGlaus
9
67 kgBittinger
10
69 kg
1
75 kgvan Vliet
2
65 kgRaas
8
72 kgGlaus
9
67 kgBittinger
10
69 kg
Weight (KG) →
Result →
75
65
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PRIEM Cees | 75 |
| 2 | VAN VLIET Leo | 65 |
| 8 | RAAS Jan | 72 |
| 9 | GLAUS Gilbert | 67 |
| 10 | BITTINGER René | 69 |